Evidence map›Paper›PMID 38238680›Full record

ArticleBMC infectious diseases2024

Evaluation of antibody-based preventive alternatives for respiratory syncytial virus: a novel multi-criteria decision analysis framework and assessment of nirsevimab in Spain.

Jorge Mestre-Ferrándiz, Agustín Rivero, Alejandro Orrico-Sánchez, Álvaro Hidalgo, Fernando Abdalla, Isabel Martín, Javier Álvarez, Manuel García-Cenoz, Maria Del Carmen Pacheco, María Garcés-Sánchez and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Jorge Mestre-FerrándizDepartment of Economics, University Carlos III, Madrid, Spain.
Agustín RiveroDepartment of Management, Bioregión de Salud y Bienestar (BioMad), Madrid, Spain.
Alejandro Orrico-SánchezDepartment of Vaccines Research, Fundación Para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (Fisabio), Valencia, Spain.
Álvaro HidalgoWeber Foundation, Madrid, Spain.
Fernando AbdallaDepartment of Health Affairs and Policy Research, Vivactis Weber, Madrid, Spain. fernando.abdalla@weber.org.es.
Isabel MartínDepartment of Primary Care, Rochapea Healthcare Center, Navarra, Spain.
Javier ÁlvarezDepartment of Pediatrics, Hospital Costa del Sol, Málaga, Spain.
Manuel García-CenozPublic Health Institute of Navarra, Navarra, Spain.
Maria Del Carmen PachecoDepartment of Epidemiology, General Directorate of Public Health, Castilla y León, Spain.
María Garcés-SánchezDepartment of Pediatrics, Nazaret Healthcare Center, Valencia, Spain.
Néboa ZozayaDepartment of Health Affairs and Policy Research, Vivactis Weber, Madrid, Spain.
Raúl Ortiz-de-LejarazuNational Influenza Centre, School of Medicine, University of Valladolid, Castilla y León, Spain.
Weber · ESFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESHospital Costa del Sol · ESInstituto de Salud Pública de Navarra · ESUniversidad Carlos III de Madrid · ESUniversidad de Valladolid · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory syncytial virus (RSV) is a highly infectious disease that poses a significant clinical and medical burden, as well as social disruption and economic costs, recognized by the World Health Organization as a public health issue. After several failed attempts to find preventive candidates (compounds, products, including vaccines), new alternatives might be available, one being nirsevimab, the first and only option approved for RSV prevention in neonates and infants during their first RSV season. The objective of this study was to develop a novel multi-criteria decision analysis (MCDA) framework for RSV antibody-based preventive alternatives and to use it to assess the value of nirsevimab vs. placebo as a systematic immunization approach to prevent RSV in neonates and infants during their first RSV season in Spain.

methodsBased on a pre-established model called Vaccinex, an ad-hoc MCDA framework was created to reflect relevant attributes for the assessment of current and future antibody-based preventive measures for RSV. The estimated value of nirsevimab was obtained by means of an additive linear model combining weights and scores assigned by a multidisciplinary committee of 9 experts. A retest and three sensitivity analyses were conducted.

resultsNirsevimab was evaluated through a novel framework with 26 criteria by the committee as a measure that adds value (positive final estimated value: 0.56 ± 0.11) to the current RSV scenario in Spain, by providing a high efficacy for prevention of neonates and infants. In addition, its implementation might generate cost savings in hospitalizations and to the healthcare system and increase the level of public health awareness among the general population, while reducing health inequities.

conclusionsUnder a methodology with increasing use in the health field, nirsevimab has been evaluated as a measure which adds value for RSV prevention in neonates and infants during their first RSV season in Spain.

Indexed as

Antibodies, Monoclonal, HumanizedRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsAntiviral AgentsDecision Support TechniquesHumansInfantInfant, NewbornSpainAntibodies, Monoclonal, HumanizedAntiviral AgentsnirsevimabMCDAMonoclonal antibodiesMulti-criteria decision analysisPreventionRespiratory Syncytial Virus

Identifiers

PMID38238680
PMCPMC10797756
OpenAlexW4390985134

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.